Senior Marketing Data Analyst

About komoot

Komoot is an app that lets you find, plan, and share adventures with its easy route planner. Driven by a love for nature and powered by the outdoor community’s recommendations, komoot helps you explore more of the great outdoors—wherever and however you want. And we're good at it. Google and Apple have listed us as one of their Apps of the Year numerous times. Today, with over 30 million users and 300,000 five-star reviews, we are well on our way to becoming the most popular app for finding, planning, and sharing adventures worldwide. 

Join our remote-working team and start your adventure with komoot.

About the role

The Analytics team empowers everyone at komoot to make the best decisions possible with accurate, timely and useful data. As our new Senior Marketing Data Analyst you will work closely with our Senior Performance Marketing Manager Nina on building and improving measurement tools to improve the efficiency of performance marketing campaigns. You will join Trine and the rest of the Analytics team in taking ownership of the entire analytics lifecycle, from data collection to generating actionable insights. Together, we’re helping millions of people explore more of the great outdoors.

Ready for your next adventure?

What you will do

• Own and optimize marketing data & reporting: Ensure accurate data collection (first- and third-party data), build dashboards and other reporting tools (e.g. Metabase, Google Sheets).
• Turn data into insights: Analyze data, identify trends & opportunities, and translate them into actionable insights for marketing managers.
• Support marketing team decisions: Be the go-to person for data questions, translate business needs into data analysis, and provide recommendations.
• Develop & improve marketing measurement tools: Build and maintain attribution models, customer lifetime value frameworks, and incrementality or media mix modeling.
• Maintain & improve data infrastructure: Contribute to data pipelines (in dbt), ensure data accuracy in the data warehouse, and work with our analytics engineering team.
• Collaborate & share knowledge: Work with other analysts and contribute to the team's growth in data analytics practices.

Why you will love it

• Your work will contribute to helping millions of people enjoy lovely outdoor experiences.
• We’ve been a remote-working company since 2017, meaning: We are remote by default, have frameworks and systems in place, and know how to do it well.
• You’ll become an essential part of our diverse and international team with colleagues based in 15+ countries across Europe. 

• You can work from wherever you want, be it a beach, the mountains, your house, or anywhere else that lies in any time zone between UTC-1 and UTC+3.

• 38 paid days off (inclusive public holidays) – you are free to take those days whenever it suits you, including a well-deserved winter holiday break.
• We love seeing people grow. That's why each team member gets €2,000 and 3 additional days to spend on professional development each year. Classes, conferences, books – your choice!
• Costs covered for your co-working space membership or your work-from-home office setup and the latest devices and equipment to do your best work.

You’ll be successful in this role if you

• Have 5+ years of experience with marketing analytics, preferably in a mobile app context (working with mobile measurement / attribution partners)
• Have excellent SQL skills and you’re comfortable working with a cloud data warehouse (e.g. Redshift, Snowflake, BigQuery)
• Know how to use Python/Pandas for data analysis and you have some experience with software development workflows (e.g. version control, code review)
• Have experience using dbt for data transformation and modeling (good to have, this will help you a lot working in our environment)
• Have experience with BI / visualization tools (e.g. Metabase, Tableau, Looker) and comfortable using spreadsheets (e.g. Google Sheets, Excel) for reporting
• Have a good grasp on statistical concepts and you know how to apply them to real-world scenarios (e.g. hypothesis testing)
• Have experience with Marketing Mix Modeling (MMM) analysis for estimating (incremental) impact of various marketing tactics (nice to have)
• Can effectively communicate data topics and analysis results (e.g. visualization, dashboard design) and you can explain complex ideas in clear and simple language
• Have a deep understanding of data quality and reliability of results
• Know how to understand business needs and translate abstract problems into technical solutions
• Can apply rigorous analytical thinking and you have a passion for finding actionable insights
• Are hands-on, self-driven, and able to learn independently
• Are a team player, communicate with empathy, and are always willing to help others

Not sure if you meet all requirements above? Don't sweat it – if you think you're the right person anyway, we'd love to hear from you!